Yan Qiang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 19
- Medical Imaging Techniques and Applications 9
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- AI in cancer detection 9
- Co-authors
- Juanjuan Zhao (27 shared papers)Wei Wei (1 shared paper)Jing Zhang (1 shared paper)Kai Song (6 shared papers)Wenbin Yuan (3 shared papers)Long Wang (5 shared papers)Shi-Yu Zhou (2 shared papers)Wei Wu (8 shared papers)
- Journals
- Computers in Biology and Medicine (5 papers)International Journal of Human-Computer Interaction (4 papers)Medical Physics (2 papers)IEEE Access (2 papers)Journal of Combinatorial Optimization (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yan Qiang
68 papers receiving 554 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 223
- Health Informatics 10
- Cancer Research 81
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 118
Countries citing papers authored by Yan Qiang
This map shows the geographic impact of Yan Qiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yan Qiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Qiang more than expected).
Fields of papers citing papers by Yan Qiang
This network shows the impact of papers produced by Yan Qiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yan Qiang. The network helps show where Yan Qiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Qiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 50 | |
| 2 | 2021 | 35 | |
| 3 | 2019 | 29 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 23 | |
| 6 | 2016 | 21 | |
| 7 | Augmented miR-10b expression associated with depressed expression of its target gene KLF4 involved in gastric carcinoma. | 2015 | 20 |
| 8 | 2018 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 福建晋江中-基性岩墙群的锆石SHRIMP U-Pb定年和岩石地球化学 | 2006 | 13 |
| 15 | 2020 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 9 |
About Yan Qiang
Yan Qiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Molecular Biology and Biomedical Engineering, having authored 77 papers that have together received 566 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (10 papers), AI in cancer detection (9 papers), Medical Imaging Techniques and Applications (9 papers), Advanced X-ray and CT Imaging (8 papers), Dementia and Cognitive Impairment Research (5 papers), Complex Network Analysis Techniques (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (223 citations), Health Informatics (10 citations), Cancer Research (81 citations), Computer Vision and Pattern Recognition (101 citations) and Artificial Intelligence (118 citations). Yan Qiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Juanjuan Zhao, Wei Wei, Jing Zhang, Kai Song, Wenbin Yuan, Long Wang, Shi-Yu Zhou, Wei Wu, Zijuan Zhao and Yulan Ma. Their work appears in journals such as Computers in Biology and Medicine, International Journal of Human-Computer Interaction, Medical Physics, IEEE Access and Journal of Combinatorial Optimization.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.